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Tesla Robot Jobs (NOW HIRING)

Tesla

Data Collection Operator, Optimus

Dallas, TX · On-site

What to Expect Tesla is looking for highly motivated and adaptive individuals to support Tesla ... We are looking for someone with enthusiasm for the field of robotics anda strong desireto ...

Tesla

Data Collection Operator, Optimus

Palo Alto, CA · On-site

$25.25 - $34.50/hr

What to Expect Tesla is looking for highly motivated and adaptive individuals to support Tesla ... We are looking for someone with enthusiasm for the field of robotics anda strong desireto ...

Reflex Robotics

Mechanical Engineer

New York, NY · On-site

$80K - $250K/yr

Our robots are designed and built entirely in-house by an engineering team that led development of the Stretch robot at Boston Dynamics and key systems on the Tesla Model S, X, and Y production lines.

Reflex Robotics

Controls Engineer

New York, NY · On-site

$215K - $300K/yr

Our robots are designed and built entirely in-house by an engineering team that led development of the Stretch robot at Boston Dynamics and key systems on the Tesla Model S, X, and Y production lines.

Medra

Robotics Software Engineer

San Francisco, CA · On-site

The Team: * We're a team of passionate, mission-driven engineers from companies like Tesla, Amazon ... Experience or familiarity with robot arm manipulators * Proficient in Python * Relevant research ...

Chef Robotics

Robotic Operations Engineer

San Francisco, CA · On-site

$81K - $110K/yr

Our team includes engineers and leaders from Google, Cruise, Tesla, Amazon Robotics, Dexterity, Bear Robotics, Saildrone, and Zoox, united by a mission to build intelligent machines that solve ...

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Tesla Robot information

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$15

$28

$45

How much do tesla robot jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for tesla robot in the United States is $28.24, according to ZipRecruiter salary data. Most workers in this role earn between $22.12 and $32.93 per hour, depending on experience, location, and employer.

Is it difficult to get hired at Tesla?

Getting hired as a Tesla Robot involves a competitive application process that typically requires relevant technical skills, experience in robotics or engineering, and a strong understanding of automation technologies. Candidates often undergo multiple interview stages, including technical assessments and practical evaluations, making the process challenging for many applicants.

What is a Tesla Robot job?

A Tesla Robot job typically involves working on the development, manufacturing, programming, or maintenance of Tesla's humanoid robot, Optimus. Employees in this role may focus on AI, robotics engineering, software development, or mechanical design to improve the robot's functionality and integration. These roles require expertise in automation, machine learning, and robotics systems to enhance Tesla’s vision for humanoid robots assisting in various tasks.

What tasks can Tesla robots do?

Tesla robots are designed to perform tasks such as carrying objects, assisting with manufacturing processes, and performing repetitive or dangerous work in industrial environments. They are equipped with sensors and AI to navigate and interact with their surroundings, often requiring operators to program or supervise their activities.

What are the key skills and qualifications needed to thrive in the Tesla Robot position, and why are they important?

To thrive as a Tesla Robot Engineer or Technician, you need a strong background in robotics, mechanical engineering, and embedded systems, often supported by a relevant degree and hands-on automation experience. Familiarity with programming languages such as Python or C++, controllers like PLCs, and CAD software is highly valued, as are certifications in robotics or mechatronics. Problem-solving, teamwork, and adaptability are crucial soft skills for responding to unexpected challenges and collaborating on multidisciplinary teams. These competencies enable professionals to drive innovation, maintain high-quality standards, and ensure seamless integration of robotics within Tesla's manufacturing and product environment.

What are the typical daily responsibilities of someone working as a Tesla Robot Engineer or Technician?

As a Tesla Robot Engineer or Technician, your day-to-day duties may include designing, programming, and troubleshooting robotic systems used in Tesla's manufacturing and assembly lines. You might also conduct routine maintenance, perform upgrades, and work closely with other engineers, quality assurance teams, and production staff to optimize performance and minimize downtime. Collaboration on cross-functional projects is common, as is documenting processes and technical findings for continuous improvement initiatives. This role provides a dynamic environment where you’re encouraged to solve complex problems and contribute directly to Tesla's cutting-edge manufacturing innovations.

How much do robotic engineers make at Tesla?

Robotic engineers at Tesla typically earn between $80,000 and $130,000 annually, depending on experience, education, and location. They often work with advanced automation tools and may require knowledge of robotics, programming, and engineering principles.

Will a Tesla robot be able to cook?

Tesla robots are designed to perform tasks such as automation and assistance, but as of now, they are not capable of cooking independently. Developing robots that can handle complex kitchen tasks requires advanced manipulation skills, sensors, and programming, which are still in development for consumer and industrial robots. Future iterations may include cooking capabilities as technology advances.
More about Tesla Robot jobs
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Tesla Robot jobs near you
Infographic showing various Tesla Robot job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 11% Part Time, 3% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $58,744 per year, or $28.2 per hour.
Machine Learning Infrastructure Simulation Engineer, Optimus

Machine Learning Infrastructure Simulation Engineer, Optimus

Tesla

Palo Alto, CA • On-site

Full-time

Posted 14 days ago

Job description

Job Summary:
Tesla is at the forefront of advancing humanoid robotics through their Optimus Simulation team, which focuses on creating a high-fidelity virtual world for Optimus. The role involves designing and optimizing scalable simulation and reinforcement learning infrastructure to enhance the training of humanoid robots in simulated environments.
Responsibilities:
• Design, implement, and optimize scalable Simulation and RL infrastructure for training humanoid robots in simulated environments, leveraging distributed systems for parallel processing and high-throughput simulations
• Optimize performance across the simulation stack, including distributed systems, Inference, and rendering, to ensure optimal usage of hardware resources and fast, efficient simulations
• Drive innovation in sim-to-real strategies using simulation technologies and distributed computing to ensure Optimus performs reliably across both virtual and real-world environments
• Deliver high-quality, production-ready code in a dynamic and fast-paced environment
Qualifications:
Required:
• Hands-on experience building and scaling distributed systems for large-scale computations
• Strong background in ML infrastructure, including designing training pipelines, data orchestration, and deployment of RL models at scale
• Proficiency in GPU optimizations for either inference or rendering
• Proficiency in Python, with familiarity in frameworks like PyTorch, TensorFlow, or RL libraries (e.g., Stable Baselines, RLlib), and a proven ability to write clean, scalable, and efficient code
• Ability to research, implement, and adapt cutting-edge techniques from academic and industry sources into practical, production-ready solutions for scalable RL in simulation
Company:
Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and renewable energy solutions. Founded in 2003, the company is headquartered in Austin, USA, with a team of 10001+ employees. The company is currently Late Stage.

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